| _ | van | _ |
| Applied Multidimensional Systems Theory, | van | Nostrand |
| Artificial Neural Networks For Image Understanding, | van | Nostrand |
| Computer Graphics For Designers And Artists, | van | Nostrand |
| Computer Graphics: A Survey Of Current Techniques And Applications, | van | Nostrand |
| Discrete Transforms And Their Applications, | van | Nostrand |
| Image Processing Of Geological Data, | van | Nostrand |
| Introduction To Neural Computing, | van | Nostrand, An |
| Introduction To The Curves And Surfaces Of Computer-Aided Design, | van | Nostrand, An |
| Neural Computing-Ad | van | ced Methods, Van Nostrand |
| Neural Computing-Theory And Applications, | van | Nostrand |
| Neural Computing-Theory And Practice, | van | Nostrand |
| Neural Network Architectures-An Introduction, | van | Nostrand |
| Neuralsource-The Bibliographic Guide To Artificial Neural Networks, | van | Nostrand |
| Sigma-A Knowledge-Based Aerial Image Understanding System, | van | Nostrand |
| Visual Languages And Applications, | van | Nostrand |
| Visual Languages And Visual Programming, | van | Nostrand |
16 for van
| _ | vanishing | _ |
| 3-D Camera Calibration Using | vanishing | Point Concept |
| 3d Shape Reconstruction By Using | vanishing | Points |
| 3d Visual Information From | vanishing | Points |
| Accurate Line Parameters From An Optimising Hough Transform For | vanishing | Point Detection |
| Active Intrinsic Calibration Using | vanishing | Points |
| Active Intrinsic Calibration Using | vanishing | Points |
| Camera Calibration By | vanishing | Lines For 3-D Computer Vision |
| Computing Camera Parameters Using | vanishing | -Line Information From A Rectangular Parallelepiped |
| Contribution To The Determination Of | vanishing | Points Using Hough Transform |
| Determining | vanishing | Point And Camera Parameter: New Approaches |
| Determining | vanishing | Points From Perspective Images |
| Error Analysis For Surface Orientation From | vanishing | Points, An |
| Extraction Of | vanishing | Points From Images Of Indoor And Outdoor Scenes |
| Incorporating | vanishing | Point Geometry Into A Building Extraction System |
| Linear Complexity Procedure For Labelling Line Drawings Of Polyhedral Scenes Using | vanishing | Points, A |
| New Method For | vanishing | Point Detection |
| Performance Evaluation And Analysis Of | vanishing | Point Detection Techniques |
| Road Following Using | vanishing | Points |
| Road Following Using | vanishing | Points |
| S. Li), S. Tsuji, And M. Imai, Determining Camera Rotation From | vanishing | Points Of Lines On Horizontal Planes |
| Statistical Analysis Of Focal-Length Calibration Using | vanishing | Points |
| Steering A Robot With | vanishing | Points |
| Using | vanishing | Points For Camera Calibration |
| vanishing | Point Calculation As A Statistical Inference On The Unit Sphere |
| vanishing | Point Detection |
| vanishing | Point Detection By A Voting Scheme |
| vanishing | Point Detection By Line Clustering |
| vanishing | Point Matching |
28 for vanishing
| _ | variable | _ |
| Abstraction And Representation Of Continuous | variable | s In Connectionist Networks |
| Active Camera Calibration For A Head-Eye Platform Using The | variable | State-Dimension Filter |
| Adaptive Histogram Equalization Using | variable | Regions |
| Algorithm For Construction Of | variable | Length Code With Limited Word Length |
| Auxiliary | variable | s And Two-Step Iterative Algorithms In Computer Vision Problems |
| Auxiliary | variable | s For Deformable Models |
| Biological Vs. Artificial Representations Of | variable | s In Fine-Grain Parallel Systems |
| Choosing The Optimal Neighbourhood Size In Optical Flow Problems With Errors-In- | variable | s Modelling |
| Combinatorial Optimization Applied To | variable | Scale 2d Model Matching |
| Comparing Images Under | variable | Illumination |
| Conditional | variable | -Length Coding For Gray-Level Pictures |
| Counter Example To ``Realization Of Two- | variable | Transfer Functions'', A |
| Distance Functions Defined By | variable | Neighborhood Sequences |
| Estimating Optical Flow In Segmented Images Using | variable | -Order Parametric Models With Local Deformations |
| Euclidean 3d Reconstruction From Image Sequences With | variable | Focal Lengths |
| Hierarchical Boundary Model For | variable | Resolution Representation Of Three-Dimensional Objects, A |
| High-Resolution Hough Transform Using | variable | Filter, A |
| Illumination Cones For Recognition Under | variable | Lighting: Faces |
| Improving Boundary Detection Using | variable | Resolution Masks |
| Measuring Range Using A Triangulation Sensor With | variable | Geometry |
| Minimum Description Length Model For Recognizing Objects With | variable | Appearance (The Vapor Model), A |
| Optimal Vlsi Graph Embeddings In | variable | Aspect Ratio Rectangles |
| Procedure For Generating Template Masks For Detecting | variable | Signals |
| Representation And Visualization Of Terrain Surfaces At | variable | Resolution |
| Representation Of 3d Surfaces By Two- | variable | Fourier Descriptors |
| Representation Of | variable | s In Connectionist Networks, The |
| Robust | variable | Length Nonlinear Filter For Edge Enhancement And Noise Smoothing, A |
| Robust | variable | Order Facet Model For Image Data, A |
| Root-Signal Sets Of Morphological Filters And Their Use In | variable | -Length Btc Image Coding |
| Segmentation Through | variable | -Order Surface Fitting |
| Shape Recognition System By | variable | Slit Method-Its Hardware And Software |
| Simultaneous Optimal Boundary Encoding And | variable | -Length Code Selection |
| Stability Invariance Of Discrete And Continuous Multidimensional Systems Under Some | variable | Transformations |
| Stochastic Formulations Of Optical Flow Algorithms Under | variable | Brightness Conditions |
| variable | Capacitance Neuron Model-A New Hardware For Bionics Computer |
| variable | Median Filter For Image Restoration Adaptable To Different Types Of Spike Noise, A |
| variable | Method For The Estimation Of Displacement Vector Fields From Image Sequences, A |
| variable | Neighborhood Approach To Early Vision, A |
| variable | Pyramid Structures For Image Segmentation |
| variable | Sized Bin Packing |
| variable | Window Approach To Early Vision, A |
| variable | Window Gabor Filters And Their Use In Focus And Correspondence |
| variable | -Resolution Character Thinning |
| variable | -Scale Smoothing And Edge Detection Guided By Stereoscopy |
44 for variable
| _ | variant | _ |
| Active/Space- | variant | Object Recognition |
| Bayesian Pixel Classification Using Spatially | variant | Finite Mixtures And The Generalized Em Algorithm |
| Block Shift- | variant | Blur Model For Recovering Depth From Defocused Images, A |
| Constant-Time Filtering With Space- | variant | Kernels |
| Design Considerations For A Space- | variant | Visual Sensor With Complex-Logarithmic Geometry |
| Design Of One-Pass Training Algorithms For | variant | Morphological Operations |
| Frontal Face Authentication Using | variant | s Of Dynamic Link Matching Based On Mathematical Morphology |
| Lie Groups, Space- | variant | Fourier Analysis And The Exponential Chirp Transform |
| Linear Shift- | variant | Processing Of 2-D Signals Via Sequence Convolution: Special Cases And Experimental Results |
| Miniaturized Space- | variant | Active Vision System: Cortex-I, A |
| Minimum Sampling Rates For Linear Shift- | variant | Discrete-Time Systems |
| Nonlinear Space- | variant | Postprocessing Of Block Coded Images |
| Rapid Anisotropic Diffusion Using Space- | variant | Vision |
| Reciprocal-Wedge Transform For Space- | variant | Sensing |
| Reciprocal-Wedge Transform For Space- | variant | Sensing, The |
| Recognition By Using An Active/Space- | variant | Sensor |
| Resolution Consideration In Spatially | variant | Sensors |
| Resolution Considerat[S]Ion In Spatially | variant | Sensors |
| Review Of Biologically Motivated Space- | variant | Data Reduction Models For Robotic Vision, A |
| Robot Navigation By Combining Central And Peripheral Optical Flow Detection On A Space- | variant | Map |
| Shape Description With A Space- | variant | Sensor: Algorithms For Scan-Path, Fusion, And Convergence Over Multiple Scans |
| Space | variant | Image Processing |
| Space- | variant | Active Vision And Visually Guided Robotics: Design And Construction Of A High-Performance Miniature Vehicle |
| Space- | variant | Approach To Oculomotor Control, A |
| Space- | variant | Approaches To Recovery Of Depth From Defocused Images |
| Spatially- | variant | Mathematical Morphology |
| Top-Down Gaze Targeting For Space- | variant | Active Vision |
| Tracking In A Space | variant | Active Vision System |
| variant | s Of Dynamic Link Architecture Based On Mathematical Morphology For Frontal Face Authentication |
29 for variant
| _ | variation | _ |
| Adaptive Histogram Equalization And Its | variation | s |
| Application Of The Hough Transform To Correct For Linear | variation | Of Background Illumination In Images |
| Computerized Tomographic Imaging Is Insensitive To Density | variation | During Scanning |
| Discrimination Between Visual Stimuli By | variation | Of Shape And Relative Position Of Volumetric Primitives |
| Dual Plane | variation | Of The Hough Transform For Detecting Non-Concentric Circles Of Different Radii, A |
| Efficient Approach To The Identification Of Characteristic Intensity | variation | s, An |
| Feature Extraction Of Edge By Directional Computation Of Gray-Scale | variation | |
| Gaussian Normalization Of Morphological Size Distributions For Increasing Sensitivity To Texture | variation | s And Its Application To Pavement Distress Classification |
| Geometric | variation | s: Analysis, Optimization And Control |
| Human Skin Model Capable Of Natural Shape | variation | |
| Image Segmentation Using Local | variation | |
| Investigation Of Curvature | variation | s Over Recursively Generated B-Spline Surfaces, An |
| Investigations Of Image Contrast Space Defined By | variation | s On Histogram Equalization |
| Modeling Geometric Structure And Illumination | variation | Of A Scene From Real Images |
| Modelling And Identification Of Charateristic Intensity | variation | s |
| O(Nd) Difference Algorithm And Its | variation | s, An |
| Performance Comparison Of Ten | variation | s On The Interpretation-Tree Matching Algorithm |
| Plang Based Specification Of Patterns With | variation | s For Pictorial Data Bases |
| Theoretical Comparison Between Dpcm And Transform Coding Regarding The Robustness Of Coding Performance For | variation | Of Picture Statistics |
| Tracking Motion And Intensity | variation | s Using Hierarchical 2-D Mesh Modeling For Synthetic Object Transfiguration |
| variation | On The Hypercube With Lower Diameter, A |
| variation | s In Solids: A Declarative Treatment |
| variation | s On A Theme In Binary Mathematical Morphology |
| variation | s On Regularization |
| variation | s On The Evidence-Based Object Recognition Theme |
| variation | s On Visibility |
| View | variation | Of Point Set And Line Segment Features |
| View | variation | Of Point-Set And Line-Segment Features |
| Viewpoint | variation | In The Noise Sensitivity Of Pose Estimation |
29 for variation
| _ | variational | _ |
| Adaptive Thresholding By | variational | Method |
| Affine Invariant Texture Segmentation And Shape From Texture By | variational | Methods |
| Anthropometric Face Model Using | variational | Techniques, An |
| Efficient Multiresolution Counterparts To | variational | Methods For Surface Reconstruction |
| Estimation Of Stereo And Motion Parameters Using A | variational | Principle |
| Investigation Of Parallel And Globally Convergent Iterative Schemes For Nonlinear | variational | Image Smoothing And Segmentation |
| Multilevel Reconstruction Of Visual Surfaces: | variational | Principles And Finite-Element Representations |
| Multiscale Algorithm For Image Segmentation By | variational | Method, A |
| Recovery Of Surfaces With Discontinuities By Fusing Shading And Range Data Within A | variational | Framework |
| Study Of A Convex | variational | Diffusion Approach For Image Segmentation And Feature Extraction, A |
| Using Dynamic Programming For Solving | variational | Problems In Vision |
| variational | Approach For Edge-Preserving Regularization Using Coupled Pde'S |
| variational | Approach To Multi-Sensor Fusion Of Images, A |
| variational | Approach To Optical Flow Estimation Managing Discontinuities |
| variational | Approach To Recovering Depth From Defocused Images, A |
| variational | Approach To Shape From Shading, The |
| variational | Design Of Curves And Surfaces Using Multiresolution Constraints |
| variational | Dynamic Programming Approach To Robot Path Planning With A Distance-Safety Criterion, A |
| variational | Image Segmentation Using Boundary Functions |
| variational | Method For The Recovery Of Smooth Boundaries, A |
| variational | Methods In Image Segmentation, Birkhauser |
| variational | Methods In Signal And Image Analysis |
| variational | Principles, Surface Evolution, Pde'S, Level Set Methods, And The Stereo Problem |
| variational | Segmentation Of Multi-Channel Mri Images |
| variational | Surface Modeling |
| Visual Reconstruction With Discontinuities Using | variational | Methods |
26 for variational
| _ | varying | _ |
| 3-D Motion Recovery From Time- | varying | Optical Flows |
| 7. Matching; Time- | varying | Imagery |
| 7. Matching; Time- | varying | Imagery |
| Acquiring 3d Models Of Non-Rigid Moving Objects From Time And Viewpoint | varying | Image Sequences: A Step Toward Left Ventricle Recovery |
| Amplitude | varying | Rate Statistical Approach For Texture Classification, The |
| Analysis Of Error In Depth Perception With Vergence And Spatially | varying | Sensing |
| Analysis Of Time | varying | Image Sequences, The |
| Analyzing A Scene'S Picture Set Under | varying | Lighting |
| Class Of Stable Feature Extractors For Time- | varying | Imagery, A |
| Closed-Form Attitude Determination Under Spectrally | varying | Illumination |
| Color Constancy For Scenes With | varying | Illumination |
| Color Constancy Under | varying | Illumination |
| Color Image Analysis By | varying | Camera Aperture |
| Colour Constancy For Scenes With | varying | Illumination |
| Computational Analysis Of Time- | varying | Images, A |
| Conformal Transplantation Of Lightness To | varying | Resolution Sensors |
| Curve Fitting Using A | varying | Mesh |
| Dense, Time- | varying | Range Data Acquisition From Stereo Pairs Of Thermal And Intensity Images |
| Detecting Time- | varying | Corners |
| Detecting Time- | varying | Corners |
| Detection And Localization Of Objects In Time- | varying | Imagery Using Attention, Representation And Memory Pyramids |
| Detection And Localization Of Objects In Time- | varying | Imagery Using Attention, Representation And Memory Pyramids |
| Determination Of Egomotion And Environmental Layout From Noisy Time- | varying | Image Velocity In Binocular Image Sequences |
| Direct Recovery Of Motion And Range From Images Of Scenes With Time- | varying | Illumination |
| Distributed System For Analyzing Time- | varying | Multiresolution Imagery, A |
| Edge Detection And Thinning In Time- | varying | Image Sequences Using Spatio-Temporal Templates |
| Edge Detection Using The Directional Derivatives Of A Space | varying | Correlated Random Field Model |
| Enhancing Video Conferencing Using Spatially | varying | Sensing |
| Estimation Of Trajectories For Accelerated Motion From Time- | varying | Imagery |
| Estimation Of Velocity Vector Fields From Time- | varying | Image Sequences, The |
| Euclidean Reconstruction From Image Sequences With | varying | And Unknown Focal Length And Principal Point |
| Face Recognition Under | varying | Pose |
| Face Recognition Under | varying | Pose |
| Fast Recursive Estimation Of The Parameters Of A Space- | varying | Autoregressive Image Model |
| Feasibility Of Motion And Structure From Noisy Time- | varying | Image Velocity Information, The |
| Feature Point Tracking In Time- | varying | Images |
| Finding Correspondences In Time- | varying | Shape Boundaries |
| G. Matching and Time- | varying | Imagery |
| G. Matching, Stereo, and Time- | varying | Imagery |
| G. Matching; Time- | varying | Imagery |
| G. Matching; Time- | varying | Imagery |
| G.3. Time- | varying | Imagery |
| Generalizing Epipolar-Plane Image Analysis For Non-Orthogonal And | varying | View Directions |
| Image Flow Theory: A Framework For 3-D Inference From Time- | varying | Imagery |
| Image Sequence Segmentation Using Time- | varying | Textures |
| Locating Objects Of | varying | Shape Using Statistical Feature Detectors |
| Matching Shapes: A Case Study In Time- | varying | Images |
| Motion Analysis With A Camera With Unknown, And Possibly | varying | Intrinsic Parameters |
| Motion And Structure Based Image Segmentation For Object-Oriented Time- | varying | Sequences Coding |
| Motion And Structure In Rigid Multi-Surfaced Stationary Environments Using Time- | varying | Image Velocity: Linear Solutions |
| Motion And Time- | varying | Imagery |
| Motion And Time- | varying | Imagery-An Overview |
| Motion Constraint Equation Under Space- | varying | Or Time-Varying Illumination, A |
| Motion Constraint Equation Under Space- | varying | Or Time-Varying Illumination, A |
| Motion Estimation Algorithm Under Time- | varying | Illumination, A |
| Multiresolution Attention And Associative Memory Systems For Time- | varying | Imagery |
| Non-Parametric Classification Of Pixels Under | varying | Outdoor Illumination |
| Object-Detection With A | varying | Number Of Eigenspace Projections |
| On The Use Of Time | varying | Shading And Surface Rim Irradiance |
| Parallel Image Segmentation Algorithm Using Relaxation With | varying | Neighborhoods And Its Mapping To Array Processors, A |
| Planning Collision-Free Trajectories In Time- | varying | Environments: A Two-Level Hierarchy |
| Planning Focus Of Attention For Multifingered Hand With Consideration Of Time- | varying | Aspects |
| Point Target Detection In Spatially | varying | Clutter |
| Recursive Estimation Of Time- | varying | Motion And Structure Parameters |
| Robust Description Of Time- | varying | Scenes For Computer Animation, A |
| Sampling And Reconstruction Of Time- | varying | Imagery With Application In Video Systems, The |
| Second International Workshop On Time- | varying | Image Processing And Moving Object Recognition (Florence, Italy |
| Self-Calibration And Metric Reconstruction In Spite Of | varying | And Unknown Internal Camera Parameters |
| Self-Calibration From Four Views With Possibly | varying | Intrinsic Parameters |
| Shape Reconstruction On A | varying | Mesh |
| Shape Reconstruction On A | varying | Mesh |
| Spatially | varying | Illumination: A Computational Model Of Converging And Diverging Sources |
| Spatio-Temporal Approach For Time- | varying | Image Motion Estimation |
| Spatiotemporal Approach For Time- | varying | Global Image Motion Estimation |
| Statistical Change Detection With Moments Under Time- | varying | Illumination |
| Study On Using Structured Lighting To Analyze Time | varying | Image Sequences, A |
| Syntactic Approach To Time- | varying | Pattern Analysis, A |
| Time- | varying | Image Processing And Moving Object Recognition (Proceedings Of An International Workshop, Florence, Italy, September 8-9, 1986) |
| Time- | varying | Image Processing And Moving Object Recognition (Proceedings Of The Fifth International Workshop, Florence, Italy, September 5-6, 1996), Elsevier |
| Time- | varying | Image Processing And Moving Object Recognition 4 Proceedings Of The Fifth International Workshop, Florence, Italy, September 5-6, 1996, Elsevier |
| Time- | varying | Image Processing And Moving Object Recognition, 2 (Proceedings Of The Third International Workshop, Florence, Italy, May 29-31, 1989), North-Holland |
| Time- | varying | Image Processing And Moving Object Recognition, 3, Elsevier |
| Time- | varying | Imagery Analysis |
| Time- | varying | Images: The Effect Of Finite Resolution On Uniqueness |
| Time- | varying | Motion Estimation Using Orthogonal Polynomials And Applications |
| Tracking Feature Points In Time- | varying | Images Using An Opportunistic Selection Approach |
| Tracking Of 3d Multi-Part Objects Using Multiple Viewpoint Time- | varying | Sequences |
| varying | Focal Length Self-Calibration And Pose Estimation From Two Images |
| Weighted Bicubic Spline Interpolation To Rapidly | varying | Data |
89 for varying